Bioinformatics analysis of comorbid mechanisms between ischemic stroke and end stage renal disease.

ABSTRACT: Ischemic stroke (IS) is a leading global cause of mortality and disability, particularly prominent in patients with end-stage renal disease (ESRD). Despite clinical evidence of their comorbidity, the molecular mechanisms underlying their interaction remain elusive. This study aims to identify shared biomarkers, gene regulatory networks, and therapeutic targets through integrative bioinformatics analyses. Gene expression datasets for IS (GSE16561, GSE22255) and ESRD (GSE37171, GSE142153) were obtained from gene expression omnibus (GEO). Weighted gene co-expression network analysis (WGCNA) and differential expression genes (DEGs) analysis identified shared genes and enriched pathways. Protein-protein interaction networks were constructed using STRING with clustering algorithms. Immune cell i

SUBMITTER: Wang S 

PROVIDER: S-EPMC12084348 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature